https://github.com/wagnew3/ARM
공식 코드Amodal 3D Reconstruction for Robotic Manipulation via Stability and Connectivity
Papers with Code 아카이브
Object Reconstruction
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
- 1
- 평가표
- 0
- 보존된 평가 기록
- 0
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/xcyan/nips16_PTN
공식 코드Perspective Transformer Nets: Learning Single-View 3D Object Reconstruction without 3D Supervision
https://github.com/xiexh20/CHORE
공식 코드CHORE: Contact, Human and Object REconstruction from a single RGB image
https://github.com/xiexh20/behave-dataset
공식 코드BEHAVE: Dataset and Method for Tracking Human Object Interactions
https://github.com/yaliMa/Adversarial-Patch-3D
공식 코드Enhancing Real-World Adversarial Patches through 3D Modeling of Complex Target Scenes
https://github.com/yhyang-myron/DreamComposer
공식 코드DreamComposer: Controllable 3D Object Generation via Multi-View Conditions
https://github.com/yinyunie/RfDNet
공식 코드RfD-Net: Point Scene Understanding by Semantic Instance Reconstruction
https://github.com/yinyunie/Total3DUnderstanding
공식 코드https://github.com/za-cheng/PM-PMVS
공식 코드Multi-view 3D Reconstruction of a Texture-less Smooth Surface of Unknown Generic Reflectance
https://github.com/zc-alexfan/hold
공식 코드HOLD: Category-agnostic 3D Reconstruction of Interacting Hands and Objects from Video
https://github.com/zerchen/AlignSDF
공식 코드AlignSDF: Pose-Aligned Signed Distance Fields for Hand-Object Reconstruction
https://github.com/zerchen/gSDF
공식 코드gSDF: Geometry-Driven Signed Distance Functions for 3D Hand-Object Reconstruction
https://github.com/zhengxi-git/phase-slam
공식 코드https://github.com/zhenpeiyang/fvor
공식 코드FvOR: Robust Joint Shape and Pose Optimization for Few-view Object Reconstruction
https://github.com/zqyq/vtr
공식 코드https://gitlab.com/hzxie/Pix2Vox
공식 코드Pix2Vox++: Multi-scale Context-aware 3D Object Reconstruction from Single and Multiple Images
https://github.com/ActiveVisionLab/ray-onet
CoReNet: Coherent 3D scene reconstruction from a single RGB image
https://github.com/Ajithbalakrishnan/3D-Model-Reconstruction
Pix2Vox: Context-aware 3D Reconstruction from Single and Multi-view Images
https://github.com/Ajithbalakrishnan/3D-Object-Reconstruction-from-Multi-View-Monocular-RGB-images
Pix2Vox: Context-aware 3D Reconstruction from Single and Multi-view Images
https://github.com/Amaranth819/3dr2n2-tensorflow
3D-R2N2: A Unified Approach for Single and Multi-view 3D Object Reconstruction
https://github.com/CPUFronz/CapsVoxGAN
https://github.com/DreamTechAI/Direct3D-S2
Direct3D-S2: Gigascale 3D Generation Made Easy with Spatial Sparse Attention
https://github.com/Gitikameher/A-Point-Set-Generation-Network-for-3D-Object-Reconstruction-from-a-Single-Image
A Point Set Generation Network for 3D Object Reconstruction from a Single Image
https://github.com/JeremyFisher/deep_level_sets
3D-R2N2: A Unified Approach for Single and Multi-view 3D Object Reconstruction
https://github.com/JeremyFisher/few_shot_3dr
Matryoshka Networks: Predicting 3D Geometry via Nested Shape Layers
https://github.com/Radhika009/CMPE_295B_MASTERPROJECT
3D-R2N2: A Unified Approach for Single and Multi-view 3D Object Reconstruction
https://github.com/Wapity/Pixel2Mesh-Pytorch
Pixel2Mesh: Generating 3D Mesh Models from Single RGB Images
https://github.com/Xharlie/ShapenetRender_more_variation
3D-R2N2: A Unified Approach for Single and Multi-view 3D Object Reconstruction
https://github.com/agnJason/RGB-D-PIFuHD
PIFuHD: Multi-Level Pixel-Aligned Implicit Function for High-Resolution 3D Human Digitization
https://github.com/alexeybokhovkin/CAD-Deform
End-to-End CAD Model Retrieval and 9DoF Alignment in 3D Scans
https://github.com/bhiziroglu/3D-R2N2
3D-R2N2: A Unified Approach for Single and Multi-view 3D Object Reconstruction
https://github.com/cardboard-q/pifuhd_demo_model_test
PIFuHD: Multi-Level Pixel-Aligned Implicit Function for High-Resolution 3D Human Digitization
https://github.com/charlesq34/pointnet-autoencoder
A Point Set Generation Network for 3D Object Reconstruction from a Single Image
https://github.com/chrischoy/3D-R2N2
3D-R2N2: A Unified Approach for Single and Multi-view 3D Object Reconstruction
https://github.com/col14m/cadrille
cadrille: Multi-modal CAD Reconstruction with Online Reinforcement Learning
https://github.com/dimtziwnas/InHandScanningICCV15_GroundTruthViewer
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.